Application of Monte Carlo Simulation in Optical Tweezers

Ren, Yu-Xuan; Wu, Jiaqi; Li, Yinmei

doi:10.5772/14542

Cited by 5 publications

(1 citation statement)

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“…The study found that the L/D ratio of CNTs and the diameter of CB are important factors affecting this synergistic effect, and the larger the L/D ratio of CNTs and the smaller the diameter of CB, the stronger the synergistic effect (Figure 7c-d). Ren et al [123] came to a similar conclusion by studying a Monte Carlo simulation of the mixing of rod and spherical fillers. Lu et al [124] quantitatively researched the electrical percolation threshold of hybrid SR compounds filled with CB and CNTs based on the study of Huang [122], and the results show that the simulation parameters of CB and CNTs can be optimized based on the experiments, where the degree of agglomeration of CB and the shape of the CNT model are the most important factors in the simulation (Figure 7e-h).…”

Section: Monte Carlo Models Of Hybrid-material-filled Polymersmentioning

confidence: 66%

Advances in Monte Carlo Method for Simulating the Electrical Percolation Behavior of Conductive Polymer Composites with a Carbon-Based Filling

Zhang,

Hu,

Wang

et al. 2024

Polymers

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Conductive polymer composites (CPCs) filled with carbon-based materials are widely used in the fields of antistatic, electromagnetic interference shielding, and wearable electronic devices. The conductivity of CPCs with a carbon-based filling is reflected by their electrical percolation behavior and is the focus of research in this field. Compared to experimental methods, Monte Carlo simulations can predict the conductivity and analyze the factors affecting the conductivity from a microscopic perspective, which greatly reduces the number of experiments and provides a basis for structural design of conductive polymers. This review focuses on Monte Carlo models of CPCs with a carbon-based filling. First, the theoretical basis of the model’s construction is introduced, and a Monte Carlo simulation of the electrical percolation behaviors of spherical-, rod-, disk-, and hybridfilled polymers and the analysis of the factors influencing the electrical percolation behavior from a microscopic point of view are summarized. In addition, the paper summarizes the progress of polymer piezoresistive models and polymer foaming structure models that are more relevant to practical applications; finally, we discuss the shortcomings and future research trends of existing Monte Carlo models of CPCs with carbon-based fillings.

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Section: Monte Carlo Models Of Hybrid-material-filled Polymersmentioning

confidence: 66%